Evidence map›Paper›PMID 40667342›Full record

ArticlebioRxiv : the preprint server for biology2025

Item recognition is associated with gut microbiota composition in healthy humans.

J P Oyarzun, T M Kuntz, X C Morgan, L Davachi, C Huttenhower, J E LeDoux, E A Phelps

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

J P OyarzunDepartment of Psychology, Harvard University, MA, USA.ORCID 0000-0002-6486-0689
T M KuntzDepartment of Biostatistics, Microbiome Analysis Core, Harvard T.H. Chan School of Public Health, MA, USA.ORCID 0000-0002-0823-0340
X C MorganDepartment of Biostatistics, Microbiome Analysis Core, Harvard T.H. Chan School of Public Health, MA, USA.ORCID 0000-0002-6264-6961
L DavachiDepartment of Psychology, Columbia University, NY, USA.ORCID 0000-0003-4317-0889
C HuttenhowerDepartment of Biostatistics, Microbiome Analysis Core, Harvard T.H. Chan School of Public Health, MA, USA.ORCID 0000-0002-1110-0096
J E LeDouxCenter for Neural Science and Department of Psychology, New York University, New York, NY, 10003, USA.ORCID 0000-0001-8518-132X
E A PhelpsDepartment of Psychology, Harvard University, MA, USA.ORCID 0000-0002-6215-8159

Funding

NRSA Training CoreTL1TR001447 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MICOLI, KEITH J. · 2015 to 2025
$5.9M
Gut Microbiome Contributions to Human Episodic Memory and the Role of Early Life StressR21MH134157 · NIMH · HARVARD UNIVERSITY · PI PHELPS, ELIZABETH ANYA · 2023 to 2023
$465k
NCATS NIH HHS TL1 TR001447NIMH NIH HHS R21 MH134157
6 · The paper itself

Abstract

Murine studies show that the gut microbiota - the collection of the microbes residing in the large intestine - affects memory performance in the host. However, whether commensal gut bacteria are linked to human episodic memory remains unknown. Here, we investigated whether individual differences in episodic memory performance were associated with differences in the indigenous gut microbiota composition between individuals. We show that greater gut microbiota alpha diversity was associated with better item recognition and that gut microbiota dissimilarity index (beta diversity) between participants was associated with differences in their performance. Finally, our results suggest that

Indexed as

alpha diversitycognitiongut microbiotahumansmemorypattern completionpattern separationPrevotella coprirecognition

Identifiers

PMID40667342
PMCPMC12262429

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.